Welcome to my journey of learning and practicing Machine Learning fundamentals through consistent daily problem-solving. This repository serves as a collection of problems, solutions, explanations, and test cases related to core machine learning concepts. The main goal of this journey is to revisit and strengthen my understanding of machine learning foundations and improve my problem-solving and implementation skills through regular practice.
- Build strong fundamentals in machine learning and linear algebra
- Understand and implement matrix and vector operations
- Improve logical thinking and algorithmic problem-solving
- Daily ML Problems: One machine learning–related problem solved and shared every day
- Solutions: Clear and correct Python implementations
- Explanations: Simple, beginner-friendly explanations of concepts and logic
- Test Cases: Multiple test cases to validate each solution
As I work through different machine learning problems, I will regularly update this repository with new solutions and explanations. This is an ongoing learning project, and the difficulty of problems may increase gradually over time.